# Mike Futia (@mikefutia) on x

- id: koinon:creator:x_mikefutia
- url: https://koinonlink.com/kol/x/mikefutia
- schema_version: 1.4

## Identity
- platform: x
- handle: mikefutia
- platform_url: https://twitter.com/mikefutia
- website: https://go.mikefutia.com/scale-ai-x
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 77421
- following: 1435
- posts_total: 6984
- posts_observed: 25
- posts_per_day: 2.205
- account_age_days: 3167
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01373
- best_post_interactions: 1063
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.93
- category_source: derived_from_recent_content
- topics: Claude Code skills for ad generation, Static ad concept automation, Feeding reviews and winning ads into AI, Media buyer creative workflows, Ecomm ad testing volume
- bio: Building AI systems for ads + ecomm | Clients include Kitsch & MAELYS | 🤖 Join 600+ creative marketing teams 👉 https://t.co/Op2LABJvR8

## Audience (inferred)
- status: present
- description: Media buyers and creative strategists in e-commerce advertising teams
- roles: ads
- seniority: practitioner
- pain_points: Generating 30+ fresh static ad concepts every week for testing, Manually creating ads that stay in brand voice, Extracting insights from reviews, winning ads, and comments to feed new concepts, Scaling creative production without increasing headcount
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 98
- authenticity_basis: engagement_observed
- credibility_score: 98
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_mikefutia#e6a24f12] I just built a Claude Code skill that ships 50 static ad concepts to your desktop every morning 🤯 (https://twitter.com/mikefutia/status/2071748670442381666)
- [x_mikefutia#8bce7d04] Feed it your reviews, your winning ads, and your top comments → it studies what's working → generates 50 fresh static ad concepts in your brand voice while you sleep.
- [x_mikefutia#ac1e29c0] All inside Claude Code.
- [x_mikefutia#dd2afd0b] Perfect for media buyers and creative strategists whose test plan needs 30+ fresh concepts a week — and who

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=79, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=108, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_mikefutia
- Request removal: https://koinonlink.com/claim?k=x_mikefutia
- Terms: https://koinonlink.com/for-ai